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Immutable by Design: Reinventing Business Continuity and Disaster Recovery

Anthony Cusimano
Object First

In today's digital landscape, AI, quantum computing, IoT, and other emerging technologies are rapidly evolving the value of data and its impact on business continuity and ROI. These technologies are creating an abundance of data that has to be managed, stored, and protected. This means that strong data management and maturity must be prioritized for companies to stay competitive, as the security of this data is imperative to mitigate operational and logistical downtime.

Datto is sounding the alarm for businesses to reevaluate their business continuity and disaster recovery plans with their 2025 The State of BCDR report, calling for companies to future-proof their data protection strategies. Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan.

What's the solution?

The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing.

Future-Proofing Business: Strategic Storage Investments

There are two main ingredients needed to perfect disaster recovery and business continuity: immutable storage and regular recovery testing to prove the effectiveness of runbooks and disaster recovery plans. The combination of these two will ensure a robust disaster recovery plan that not only provides tighter security and lower recovery costs and downtime but also ensures loyalty among customers, regulatory compliance, and peace of mind. This may be the only way to ensure quick resolutions after an attack or a catastrophic incident.

With cyberattacks targeting backup data in 93% of cases, immutable backups are a must-have for any robust business continuity Plan (BCP). Immutable backups create tamper-proof copies of data, protecting it from cyber threats, accidental deletion, and corruption. This guarantees that critical data can be quickly restored, allowing businesses to recover swiftly from disruptions. Immutable storage provides data copies that cannot be manipulated or altered, ensuring data remains secure and can quickly be recovered from an attack.

In addition to immutable backup storage, response plans must be continually tested and updated to combat the evolving threat landscape and adapt to growing business needs. The ultimate test of a response plan ensures data can be quickly and easily restored or failed over, depending on the event. Activating a second site in the case of a natural disaster or recovering systems without making any ransomware payments in the case of an attack. This testing involves validating the reliability of backup systems, recovery procedures, and the overall disaster recovery plan to minimize downtime and ensure business continuity.

So why are so many organizations struggling to implement these technologies and tactics?

Write Once, Regret Never: Solving Immutable Storage Challenges

Several factors could contribute to the lack of adoption of Immutable storage: budget restraints, compliance and regulation, and false vendor claims. In this volatile market, enterprises may not be able to increase their storage and data recovery budget, mistakenly putting immutable storage on the back burner. However, prioritizing immutable storage will save businesses from huge financial losses when attacked by a bad actor or face data loss and workflow disruptions.

The data compliance landscape is robust, and regulation should be a priority for all business leaders. They may overlook advanced storage solutions for fear of not meeting compliance and regulation requirements. However, immutable storage should be built around the latest Zero Trust and data security principles, which assume that individuals, devices, and services attempting to access company resources are compromised and should not be trusted, thus meeting regulatory compliance such as the European NIS2 directive.

It can be challenging for IT teams trying to determine the perfect fit for their ecosystem, as many storage vendors claim to provide immutable storage but are missing key features. As a rule of thumb, if "immutable" data can be overwritten by a backup or storage admin, a vendor, or an attacker, then it is not a truly immutable storage solution. The only way to truly evaluate if immutable storage providers are selling truly immutable solutions is to follow the five immutable requirements.

S3 object storage or a fully documented, open standard with native immutability that enables independent penetration testing is imperative. Backup data must be immutable the moment it is written and cannot be modified, deleted, or reset by any administrator, internal or external. Backup software and backup storage must be physically isolated to prevent compromised credentials from being used to alter or destroy data, and to provide resilience against other disasters. Lastly, a dedicated hardware appliance must be used to isolate immutable storage from virtualized attack surfaces, removing all risks during setup, updates, and maintenance.

Navigating the Challenges of Disaster Recovery Testing for Immutable Storage

CIOs typically prioritize protection and prevention rather than modernizing recovery. This is partly due to concerns over talent shortages and time restraints, as well as a lack of awareness of the benefits of these tests. It's true that notifications and alert fatigue overrun many cybersecurity teams, and they may feel that they do not have enough time to run these tests while also monitoring and securing the network. However, testing will limit the time it will take to respond and defend against an attack, while saving time across the company.

Additionally, some CIOs may not be fully aware of the benefits that disaster recovery testing provides and the importance of testing immutable backup storage to prevent data loss from a slew of security incidents. They may fall victim to underestimating the risks associated with failing to run these tests. Still, the risks of not having a robust business continuity disaster recovery plan could be fatal.

As data continues to grow in value and volume, businesses must prioritize their security and recovery. By adding regular testing to their recovery platforms and solutions, organizations are more likely to recover quicker and have less operational downtime. Embracing truly immutable storage and conducting regular disaster recovery tests to ensure their effectiveness is crucial for business continuity plans.

Anthony Cusimano is Solutions Director at Object First

Hot Topics

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IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Immutable by Design: Reinventing Business Continuity and Disaster Recovery

Anthony Cusimano
Object First

In today's digital landscape, AI, quantum computing, IoT, and other emerging technologies are rapidly evolving the value of data and its impact on business continuity and ROI. These technologies are creating an abundance of data that has to be managed, stored, and protected. This means that strong data management and maturity must be prioritized for companies to stay competitive, as the security of this data is imperative to mitigate operational and logistical downtime.

Datto is sounding the alarm for businesses to reevaluate their business continuity and disaster recovery plans with their 2025 The State of BCDR report, calling for companies to future-proof their data protection strategies. Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan.

What's the solution?

The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing.

Future-Proofing Business: Strategic Storage Investments

There are two main ingredients needed to perfect disaster recovery and business continuity: immutable storage and regular recovery testing to prove the effectiveness of runbooks and disaster recovery plans. The combination of these two will ensure a robust disaster recovery plan that not only provides tighter security and lower recovery costs and downtime but also ensures loyalty among customers, regulatory compliance, and peace of mind. This may be the only way to ensure quick resolutions after an attack or a catastrophic incident.

With cyberattacks targeting backup data in 93% of cases, immutable backups are a must-have for any robust business continuity Plan (BCP). Immutable backups create tamper-proof copies of data, protecting it from cyber threats, accidental deletion, and corruption. This guarantees that critical data can be quickly restored, allowing businesses to recover swiftly from disruptions. Immutable storage provides data copies that cannot be manipulated or altered, ensuring data remains secure and can quickly be recovered from an attack.

In addition to immutable backup storage, response plans must be continually tested and updated to combat the evolving threat landscape and adapt to growing business needs. The ultimate test of a response plan ensures data can be quickly and easily restored or failed over, depending on the event. Activating a second site in the case of a natural disaster or recovering systems without making any ransomware payments in the case of an attack. This testing involves validating the reliability of backup systems, recovery procedures, and the overall disaster recovery plan to minimize downtime and ensure business continuity.

So why are so many organizations struggling to implement these technologies and tactics?

Write Once, Regret Never: Solving Immutable Storage Challenges

Several factors could contribute to the lack of adoption of Immutable storage: budget restraints, compliance and regulation, and false vendor claims. In this volatile market, enterprises may not be able to increase their storage and data recovery budget, mistakenly putting immutable storage on the back burner. However, prioritizing immutable storage will save businesses from huge financial losses when attacked by a bad actor or face data loss and workflow disruptions.

The data compliance landscape is robust, and regulation should be a priority for all business leaders. They may overlook advanced storage solutions for fear of not meeting compliance and regulation requirements. However, immutable storage should be built around the latest Zero Trust and data security principles, which assume that individuals, devices, and services attempting to access company resources are compromised and should not be trusted, thus meeting regulatory compliance such as the European NIS2 directive.

It can be challenging for IT teams trying to determine the perfect fit for their ecosystem, as many storage vendors claim to provide immutable storage but are missing key features. As a rule of thumb, if "immutable" data can be overwritten by a backup or storage admin, a vendor, or an attacker, then it is not a truly immutable storage solution. The only way to truly evaluate if immutable storage providers are selling truly immutable solutions is to follow the five immutable requirements.

S3 object storage or a fully documented, open standard with native immutability that enables independent penetration testing is imperative. Backup data must be immutable the moment it is written and cannot be modified, deleted, or reset by any administrator, internal or external. Backup software and backup storage must be physically isolated to prevent compromised credentials from being used to alter or destroy data, and to provide resilience against other disasters. Lastly, a dedicated hardware appliance must be used to isolate immutable storage from virtualized attack surfaces, removing all risks during setup, updates, and maintenance.

Navigating the Challenges of Disaster Recovery Testing for Immutable Storage

CIOs typically prioritize protection and prevention rather than modernizing recovery. This is partly due to concerns over talent shortages and time restraints, as well as a lack of awareness of the benefits of these tests. It's true that notifications and alert fatigue overrun many cybersecurity teams, and they may feel that they do not have enough time to run these tests while also monitoring and securing the network. However, testing will limit the time it will take to respond and defend against an attack, while saving time across the company.

Additionally, some CIOs may not be fully aware of the benefits that disaster recovery testing provides and the importance of testing immutable backup storage to prevent data loss from a slew of security incidents. They may fall victim to underestimating the risks associated with failing to run these tests. Still, the risks of not having a robust business continuity disaster recovery plan could be fatal.

As data continues to grow in value and volume, businesses must prioritize their security and recovery. By adding regular testing to their recovery platforms and solutions, organizations are more likely to recover quicker and have less operational downtime. Embracing truly immutable storage and conducting regular disaster recovery tests to ensure their effectiveness is crucial for business continuity plans.

Anthony Cusimano is Solutions Director at Object First

Hot Topics

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...